BIG DATA PROCESSING

Soluciones en Big Data

Given the increasingly advanced advent of technology, millions of data are produced every second that may be relevant to your business. Today your clients share information, exchange opinions, deposit new documents in the cloud, or use devices that produce useful information that can generate new growth opportunities for your company, or alert about possible conflict situations. Given the access and the possibility of producing information, it is essential to have a solution that can process an amount of data vastly greater than the capacity of conventional capture, management and processing software to find out what is happening in your business and in their target markets.

Big data makes it possible to process information from your own databases (structured data) and also from information that is available in the cloud (unstructured or semi-structured data), such as messages on social networks, mobile signals, files. audio, sensors, digital images, form data, emails, survey data. No information is left out using Biga Data.

BIG DATA: WHAT IT IS

The processing of large volumes of data known as Big Data, is a priority for many organizations today. The goal is to extract value from the data to improve business performance, drive growth and make better decisions.

The technologies of Big Data are helping organizations to capture, store, and analyze data from various sources, such as social networks, sensors and mobile devices. These data can be used to optimize business processes, improve customer service, reduce costs and generate new revenue opportunities. The potential of Big Data has attracted the interest of investors, companies and governments all over the world.

According to IDC, the global market for Big Data and analytics is expected to reach 122 billion dollars in 2025, with a growth rate of 11% per year. The technologies of Big Data are driving the development of new applications and services in a wide range of sectors, such as health, retail, transport, energy and manufacturing.

In the health sector, for example, the technologies of Big Data are being used to improve the diagnosis and treatment of diseases. In the retail sector, are using to optimize the inventory and the supply chain. And in the energy sector, is being used to improve the efficiency and demand management.

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